Soft Computing for Knowledge Discovery and Data Mining 2008

• Oded Maimon, Lior Rokach:
  Introduction to Soft Computing for Knowledge Discovery and Data Mining. 1-13
  

Neural Network Methods

• G. Peter Zhang:
  Neural Networks For Data Mining. 17-44
  
• Arnulfo P. Azcarraga, Ming-Huei Hsieh, Shan Ling Pan, Rudy Setiono:
  Improved SOM Labeling Methodology for Data Mining Applications. 45-75
  

Evolutionary Methods

• Alex Alves Freitas:
  A Review of evolutionary Algorithms for Data Mining. 79-111
  
• Murilo Coelho Naldi, André Carlos Ponce Leon Ferreira de Carvalho, Ricardo José Gabrielli Barreto Campello, Eduardo R. Hruschka:
  Genetic Clustering for Data Mining. 113-132
  
• Gisele L. Pappa, Alex Alves Freitas:
  Discovering New Rule Induction Algorithms with Grammar-based Genetic Programming. 133-152
  
• Ana Carolina Lorena, André Carlos Ponce Leon Ferreira de Carvalho:
  evolutionary Design of Code-matrices for Multiclass Problems. 153-184
  

Fuzzy Logic Methods

• Lior Rokach:
  The Role of Fuzzy Sets in Data Mining. 187-203
  
• Yixin Chen:
  Support Vector Machines and Fuzzy Systems. 205-223
  
• Jorge Casillas, Francisco J. Martínez-López:
  KDD in Marketing with Genetic Fuzzy Systems. 225-239
  
• Zengchang Qin, Jonathan Lawry:
  Knowledge Discovery in a Framework for Modelling with Words. 241-276
  

Advanced Soft Computing Methods and Areas

• Ajith Abraham, Swagatam Das, Sandip Roy:
  Swarm Intelligence Algorithms for Data Clustering. 279-313
  
• Alon Schclar:
  A Diffusion Framework for Dimensionality Reduction. 315-325
  
• Christos Dimou, Andreas L. Symeonidis, Pericles A. Mitkas:
  Data Mining and Agent Technology: a fruitful symbiosis. 327-362
  
• Hong Cheng, Philip S. Yu, Jiawei Han:
  Approximate Frequent Itemset Mining In the Presence of Random Noise. 363-389
  
• Huy Nguyen Anh Pham, Evangelos Triantaphyllou:
  The Impact of Overfitting and Overgeneralization on the Classification Accuracy in Data Mining. 391-431
  

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